IT OPS
Agentic multi-app idle-seat sweep with manager negotiation
An agent surveys multiple SaaS tools for 60-day-idle seats, reasons about usage and renewal dates, negotiates keep-or-revoke with each manager in Slack.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule starts the agent
- ActionPull seats + usage across all SaaS appsHTTP webhook
- LogicAgent reasons on idle seats vs contextOpenAI
- ActionNegotiate revocations with managers in SlackSlack
- ActionDeprovision agreed seats via APIHTTP webhook
- OutputPost portfolio savings summary to SlackSlack
What it does
This agent-driven workflow handles a whole portfolio of SaaS apps at once. The agent pulls usage across each tool, identifies seats idle 60+ days, weighs context like upcoming renewals and role, then has a short keep-or-revoke conversation with each manager in Slack before deprovisioning the seats that are agreed to be cut.
When to use it
Use it when reclamation spans many apps with messy data and the right call needs judgment, not a fixed rule — for example distinguishing a seasonal user from genuine waste. The agent adapts its asks per manager and consolidates the work.
How it works
- 1A weekly schedule starts the agent.
- 2The agent queries each SaaS admin API over HTTP webhook for seats and last-login data.
- 3It reasons over idle seats, factoring renewal dates and prior keep decisions.
- 4It opens a Slack thread per manager proposing specific revocations and answers follow-ups.
- 5For agreed seats it calls the deprovision endpoint.
- 6It writes a portfolio-wide savings summary back to Slack.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Connect OpenAIModels, embeddings, files.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
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